Hybrid Research Engineer: Scaling AI & ML Systems

Hybrid Research Engineer: Scaling AI & ML Systems

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Talanto

At a Glance

  • Tasks: Design experiments and optimise AI training infrastructure while leading research efforts.
  • Company: Join Anthropic, a leader in AI innovation with a focus on collaboration.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with exciting projects and career advancement opportunities.
  • Why this job: Make a real impact in the AI field by pushing the boundaries of large language models.
  • Qualifications: Strong software engineering skills, particularly in Python, and a passion for AI research.

The predicted salary is between 60000 - 80000 Β£ per year.

Anthropic is seeking a Research Engineer, Science Of Scaling (AI) to push the frontiers of large language models. The role emphasizes designing experiments, optimizing training infrastructure, and building tools to boost team productivity, with a hybrid work model requiring presence in an Anthropic office at least 25% of the time.

You will lead small research efforts, run rigorous experiments, and collaborate on larger initiatives while leveraging strong software engineering and Python skills.

Hybrid Research Engineer: Scaling AI & ML Systems employer: Talanto

Almedia is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about machine learning and real-time personalization. With a strong emphasis on employee growth, you will have the opportunity to mentor fellow engineers while collaborating with cross-functional teams in the vibrant city of London. The hybrid working arrangements and commitment to impactful projects make Almedia a rewarding place to advance your career in AdTech.

Talanto

Contact Details:

Talanto Recruitment Team

We think you need these skills to ace Hybrid Research Engineer: Scaling AI & ML Systems

Experiment Design
Training Infrastructure Optimization
Tool Development
Software Engineering
Python
Collaboration Skills
Research Leadership